RealTimeWeekly | RealTimeWeekly #73
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RealTimeWeekly #73


30 Mar RealTimeWeekly #73

What is the future of streaming real time data architectures? Have you ever wanted any easy way to tie your Raspberry Pi to a cellular data network? Do you want to build an app using Firebase, AngularJS, or Twilio? If you said yes or even just “meh” to any of those, then we’ve got some interesting articles below!

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This week’s Real-Time news

Reflecting on Enterprise Connect 2015


Irwin Lazar, NoJitter Blog
Mar 23 2015
Irwin is a co-chair of the Enterprise Connect event, and in this he points out a few themes from this year’s event. “Is WebRTC Ready?” is no longer a debate, and team chat apps like Slack are all the rage in the Unified Communications world.

Build a real-time SMS call center with Data McFly and Twilio


Roger Stringer, AirPair
Mar 16 2015
Data McFly is a real time database service, and in this post Roger shows show how to integrate it with Twilio for SMS messaging in a call center.

Beyond Hadoop: The streaming future of big data


Matt Asay, InfoWorld
Mar 23 2015
With real time data comes real time processing responsibilities, and big data batch processing tools like Hadoop are not designed with real time in mind. A lambda architecture may help address this by balancing batch and real time processing, but also introduces a lot of complexity of its own. So what’s the right approach for streaming big data? No single answer is presented here, but it’s a nice overview of the discussion points.

AngularJS Tutorial: Learn to Build a Real-Time Reddit Clone

Very comprehensive tutorial covering AngularJS, Yeoman, Data binding to Firebase using AngularFire, Firebase simple login, and more, to build your very own Reddit.

Konekt’s Dash toolkit for building cellular connected devices plays nice with Raspberry Pi


Mic Wright, The Next Web
Mar 26 2015
I remember back in my early days as an electrical engineer, before I got into web development. We were building a prototype sensor that involved cellular data transfer. I really wish we had access to this toolkit and a Raspberry Pi 18 years ago. It’s up on Kickstarter.

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